Name
Abstract | ||
|---|---|---|
Distributed generation (DG) technology arises in several applications of power supply to tackle the issues of increasing energy demands. The concept of microgrids is introduced to integrate the DG technology into utility power networks. This paper introduces a fuzzy control scheme for networked systems utilizing a quantized
<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${H}_{\infty }$ </tex-math></inline-formula>
estimator over communication networks for DGs subject random constraints. The developed estimation algorithm is worthy for ensuring the network stability and enduring any sort of quantization, time delay, and packet drops. In these senses, adequate conditions have been mainly derived by means of linear matrix inequalities. An illustrative examples are demonstrated to confirm the effectiveness of the meant design procedure. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSMC.2017.2734167 | IEEE Transactions on Systems, Man, and Cybernetics |
Keywords | DocType | Volume |
Quantization (signal),Delay effects,Stability analysis,Mathematical model,Communication networks,Voltage control,Cybernetics | Journal | 50 |
Issue | ISSN | Citations |
3 | 2168-2216 | 1 |
PageRank | References | Authors |
0.35 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magdi S. Mahmoud | 1 | 790 | 98.50 |
| Nezar M. Alyazidi | 2 | 2 | 2.07 |